2019/20 Taught Postgraduate Module Catalogue
TRAN5291M Traffic Network Modelling
15 creditsClass Size: 40
Module manager: Dave Milne
Taught: Semester 2 (Jan to Jun) View Timetable
Year running 2019/20
|TRAN5020M||Principles of Transport Model.|
|TRAN5031M||Transport Data Collection and Analysis|
This module is mutually exclusive with
|TRAN5221M||Traffic Microsimulation Models|
|TRAN5290M||Network Analysis Models|
This module is approved as an Elective
Module summaryThis module has been designed to appeal to anyone who intends to pursue a career in Transport Planning. It introduces the main underlying principles and provides hands-on experience for two of the most popular types of model used to analyse road transport networks.
ObjectivesOn completion of this module students will have developed a practical understanding of traffic assignment and simulation modelling. They will be familiar with the key principles on which such models are based and they will have gained hands-on experience of using the SATURN congested assignment model and the DRACULA traffic microsimulation model to investigate realistic planning scenarios. The module is aimed at individuals who intend to pursue a Transport Planning career path. It introduces two of the most well-used types of modelling software for representing road transport networks. It is also essential for any student intending to use SATURN or DRACULA as part of a dissertation project.
- Understanding of the key principles of congested assignment modelling and of the planning situations for which such approaches are suitable.
- Experience of using the SATURN congested assignment model to represent the impacts of a realistic planning proposal.
- Understanding of the key principles of traffic microsimulation modelling and of the planning situations for which such approaches are suitable.
- Experience of using the DRACULA microsimulation model to represent the impacts of a realistic planning proposal.
Basic components of traffic assignment models. Wardrop Equilibrium Models. Solution Algorithms. Elastic assignment. Trip matrix estimation. Data quality and error analysis. Network aggregation. Applications: capacity changes; road pricing. Developing country applications. SATURN training: network coding, model principles, convergence, calibration, validation, case studies.
|Delivery type||Number||Length hours||Student hours|
|Independent online learning hours||65.00|
|Private study hours||54.00|
|Total Contact hours||31.00|
|Total hours (100hr per 10 credits)||150.00|
Private studyFor the SATURN based material, students will be expected to use the software to analyse a realistic planning scenario, producing model outputs to be written up into a consultancy style report. Some background reading will also be required on underlying principles and about case studies where similar approaches have been used.
For the DRACULA based material, students will demonstrate a sound understanding of the fundamentals of traffic flow characteristics, and be able to specify and use DRACULA-based models to estimate speeds and delays to vehicular traffic and successfully interpret the model outputs.
Opportunities for Formative FeedbackStudent progress will be monitored informally by demonstrators in the practical sessions. Non-attendance will be followed up. Formal feedback will be given following assessed coursework submissions.
Methods of assessment
|Assessment type||Notes||% of formal assessment|
|Total percentage (Assessment Coursework)||100.00|
Normally resits will be assessed by the same methodology as the first attempt, unless otherwise stated
Reading listThe reading list is available from the Library website
Last updated: 12/12/2018 16:33:10
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